NVIDIA RTX 5070 Ti vs NVIDIA RTX 4070 Super
Which graphics card is better for running local language models? Here is how the NVIDIA RTX 5070 Ti (16 GB) compares against the NVIDIA RTX 4070 Super (12 GB) in real memory headroom, supported model architectures, and generation speed.
NVIDIA · Blackwell
16 GB VRAM
NVIDIA RTX 5070 Ti
- Memory Bandwidth: 896 GB/s (GDDR7 256-bit)
- Fits fully in VRAM: 34 popular models
- Power Draw (TDP): 300W
- Largest recommended (Q4): 20B–22B
NVIDIA · Ada Lovelace
12 GB VRAM
NVIDIA RTX 4070 Super
- Memory Bandwidth: 504 GB/s (GDDR6X 192-bit)
- Fits fully in VRAM: 33 popular models
- Power Draw (TDP): 220W
- Largest recommended (Q4): 14B
The AI Local Check Verdict: Which GPU should you buy for AI?
The NVIDIA RTX 5070 Ti is the clear winner for local AI. It provides both 4 GB more VRAM and higher memory bandwidth (896 GB/s vs 504 GB/s).
This allows it to run larger model architectures entirely in video memory while also delivering faster token generation speeds on models of all sizes.
Models that fit on NVIDIA RTX 5070 Ti, but NOT on NVIDIA RTX 4070 Super
These models run entirely in GPU VRAM on the NVIDIA RTX 5070 Ti, but require slow system RAM offload on the NVIDIA RTX 4070 Super:
| Model | Size | Downloads | NVIDIA RTX 5070 Ti | NVIDIA RTX 4070 Super |
|---|---|---|---|---|
| MaziyarPanahi/Qwen3-32B-GGUF | 32.76B | 259,844 | Fits in VRAM | Offload (Slow) |
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